Autodesk

3 weeks ago

Software Development Manager, MCP/AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead a new engineering team in Canada building Autodesk’s agentic AI platform for the Viewer MCP. You’ll hire and grow ML/AI talent, set the technical strategy and roadmap with senior engineers, and deliver reliable agentic capabilities on a predictable schedule. Partner across Visualization Solutions, Product, UX, Applied AI, and platform teams to expose capabilities through a shared agentic layer, while establishing evaluation practices covering quality, safety, latency, and cost.

Location: Toronto, Ontario

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Hire, build, and grow a high-performing engineering team, including ML/AI talent new to the organization.
•Foster a culture of ownership, quality, experimentation, and responsible AI.
•Plan, prioritize, and deliver commitments by shipping the Viewer MCP and agentic capabilities predictably and at high quality.
•Set and drive the technical strategy and roadmap for the agentic platform, partnering on architecture and trust models (human-in-the-loop, review gates, traceability, confidence signaling).
•Establish AI system evaluation (quality, safety, latency, cost) and embed it into the delivery process, alongside production best practices (testing, CI/CD, observability, support).

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

•Bachelor’s or Master’s in Computer Science, Computer Engineering, or equivalent experience.
•3+ years leading/managing software engineers plus 7+ years of industry software engineering experience.
•Proven track record delivering complex, production-grade systems and services.
•Experience building or leading teams shipping AI/ML-powered products (e.g., LLM/agentic workflows, recommendation/insights systems, or ML in production).
•Working understanding of LLMs and agentic workflows, including how to evaluate AI systems.

Experience:7+ yearsAI/MLProduction softwareLLM/agentic workflows

Education:Master's

Skills:CommunicationCollaborationStakeholder managementOwnershipResponsible AI mindset

Tech Stack:LLMsAgentic workflowsModel Context Protocol (MCP)CI/CDAPIsAutomated testingObservabilityAWSContainersCloud-native architectures

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

3 weeks ago

Software Development Manager, MCP/AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Toronto, Ontario

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Hire, build, and grow a high-performing engineering team, including ML/AI talent new to the organization.
•Foster a culture of ownership, quality, experimentation, and responsible AI.
•Plan, prioritize, and deliver commitments by shipping the Viewer MCP and agentic capabilities predictably and at high quality.
•Set and drive the technical strategy and roadmap for the agentic platform, partnering on architecture and trust models (human-in-the-loop, review gates, traceability, confidence signaling).
•Establish AI system evaluation (quality, safety, latency, cost) and embed it into the delivery process, alongside production best practices (testing, CI/CD, observability, support).

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

•Bachelor’s or Master’s in Computer Science, Computer Engineering, or equivalent experience.
•3+ years leading/managing software engineers plus 7+ years of industry software engineering experience.
•Proven track record delivering complex, production-grade systems and services.
•Experience building or leading teams shipping AI/ML-powered products (e.g., LLM/agentic workflows, recommendation/insights systems, or ML in production).
•Working understanding of LLMs and agentic workflows, including how to evaluate AI systems.

Experience:7+ yearsAI/MLProduction softwareLLM/agentic workflows

Education:Master's

Skills:CommunicationCollaborationStakeholder managementOwnershipResponsible AI mindset

Tech Stack:LLMsAgentic workflowsModel Context Protocol (MCP)CI/CDAPIsAutomated testingObservabilityAWSContainersCloud-native architectures

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor